Collaboration between AI and humans makes solutions possible. The best solution for in-house help desks.
"PKSHA AI Helpdesk" realizes the "improvement of the inquiry experience" and "automation of responses" through a business process that combines AI and humans. The AI agent provides immediate answers through FAQs and generates responses by reading documents. It can also call upon the appropriate person, learn from the resolved answers, and apply that knowledge autonomously. By achieving a seamless collaboration between AI and humans, it builds a system that is truly used on-site, contributing to increased productivity and improved employee experience (EX).
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basic information
1. Centralize the inquiry contact point in Microsoft Teams By consolidating the inquiry channel on Microsoft Teams, which you use regularly, it allows for a consistent experience and location for communication, ensuring it is "continuously used." 2. Combine automated responses from generative AI with human support to resolve internal inquiries Seamlessly connect automation through AI, human support, and the automatic generation of knowledge from response logs to structure tacit knowledge, ensuring reliable responses to inquiries while nurturing the AI. 3. A help desk that learns automatically from the accumulation and operation of corporate knowledge Based on the analysis of human support logs by generative AI, FAQs are automatically generated and can be applied to operations, thereby formalizing tacit knowledge the more it is used, increasing the information that the AI can handle. 4. High usefulness for both the field and management It is possible to build a foundation for utilizing knowledge, structure it, and generate it. In addition to improving efficiency for both the field and management, preparations for utilizing AI agents can also be made. *Microsoft Teams environment recommended
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Applications/Examples of results
[Usage Scenarios] <Use Cases> - Streamlining internal inquiry response operations
Company information
PKSHA Technology Inc. is a company that develops algorithms based on natural language processing, image recognition, and machine learning/deep learning technologies, and provides them as solutions. Furthermore, it accelerates social implementation by developing products based on these solutions and offering them as SaaS. New needs identified in this process are fed back to the development team, creating a cycle for the future software development process.
